Improved structure of pre-segmented EEC-sections by clustering with global optimization. a methodical study;Verbesserte Strukturierung von vorsegmentierten EEG-Abschnitten durch Clusterbildung mit globaler Optimierung. Eine methodische Studie

EEG-EMG Zeitschrift fur Elektroenzephalographie Elektromyographie und Verwandte Gebiete

Volumn 27, Issue 3, 1996, Pages 105-110

  Moller U ^a   Witte, H ^a   Calicki, M ^a   Krajca, V ^a  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

Automatic pattern classification; Classification; EEC; Feature extraction ; Optimal clustering; Segmentation

Indexed keywords

ARTICLE; CASE REPORT; COMPUTER ANALYSIS; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EPILEPSY; HUMAN; MALE;

EID: 0029907206     PISSN: 00127590     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

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5. Calicki. M., U. Möller, H. Witte: Neural Clustering Networks based on Global Optimization of Prototypes in Metric Spaces. Neural. Computing & Appl. (1995) (akzeptiert)
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8. Lehmann, D., H. Ozaki, I. Pal: EEC alpha map series: brain micro-states by space-oriented adaptive segmentation. Electroenceph. clin. Neurophysiol. 67 (1987) 271 -288
9. Lopes da Suva, F.: Computer-assisted EEC Diagnosis: Pattern Recognition in EEC Analysis, Feature Extraction and Classification. In: Electroencephalography. Basic Principles, Clinical Applications and Related Fields, Third Ed., 1063-1086. Eds: E. Niedermeyer, F. Lopes da Silva. Urban Si Schwarzenberg. Baltimore, München 1982
10. Pal, N. R.,J. C. Bezdek, E. C.-K. Tsao: Generalized Clustering Networks and Kohonen's Self-Organizing Scheme. IEEE Transact. Neural Networks. 4 (1993) 549-557